AI Training for Operations & Supply Chain | Forecast demand, manage vendors and document processes faster
Demand signals, vendor analysis and process automation. Designed and delivered by CA Dhaval Kodilkar.
Clients include Larsen & Toubro, Safaricom, Bajaj Finserv, Indian Oil, Galderma, Abbott, Lanxess, Bajaj Finance, VE Commercial Vehicles (Eicher), UPL, Marico, WPP Media, IndusInd Bank, KPMG, Income Tax Appellate Tribunal (ITAT), NPCI, Mayfair Insurance, Copy Cat Group, Ramco Group, HCG Group, Clutterbot.
AI training for operations and supply chain teams covers demand forecasting, procurement analysis, vendor evaluation, inventory review and SOP generation. Participants learn to combine AI with Excel and Python to spot demand shifts earlier, compare vendors objectively and turn tribal knowledge into clear standard operating procedures.
Built for your team.
- Supply chain planners
- Procurement and sourcing teams
- Plant and operations managers
- Logistics teams
- Quality and process excellence teams
- Group size
- 8 to 50 participants per cohort
- Prior knowledge
- None needed
Where the time goes today.
- Demand forecasts miss shifts because they rely on last year's pattern.
- Vendor evaluation is subjective and inconsistent across categories.
- Inventory reviews happen monthly while stock problems build daily.
- SOPs are outdated, or exist only in experienced employees' heads.
- Procurement teams read long RFQ responses manually.
5 modules, each with a hands-on lab.
- Module 1
AI in operations
Map AI to plan, source, make, deliver and improve processes.
Lab: Choose three operations pilots by value and data readiness.
- Module 2
Demand forecasting
Improve forecasts with AI-assisted analysis of history and signals.
Lab: Forecast a SKU family and compare against a naive baseline.
- Module 3
Procurement and vendor analysis
Compare RFQ responses and score vendors on clear criteria.
Lab: Evaluate five sample vendor quotes with a scoring model.
- Module 4
Inventory and logistics review
Flag slow-moving stock, stock-out risk and freight anomalies.
Lab: Analyse an inventory extract for ageing and risk.
- Module 5
SOPs and process documentation
Turn interviews and videos into clear SOPs and checklists.
Lab: Write an SOP from a recorded process walkthrough.
What Operations & Supply Chain teams automate first.
| Workflow | Typical tool |
|---|---|
| Forecast demand by SKU family with seasonality |  PythonPython |
| Compare RFQ responses and summarise differences |  ClaudeClaude |
| Score vendors on price, quality and delivery |  ExcelExcel with Copilot |
| Flag slow-moving and obsolete inventory | ExcelExcel with Copilot |
| Write SOPs and work instructions from process notes |  ChatGPTChatGPT |
| Summarise quality incident reports by root cause | ClaudeClaude |
| Answer shop-floor questions from manuals and SOPs |  NotebookLM (Gemini Notebook)NotebookLM |
| Automate purchase order follow-ups |  Power Automate n8nPower Automate / n8n |
- Excel
- Python
- Claude
- ChatGPT
- NotebookLM (Gemini Notebook)
- Power Automate
- n8n
Copilot Studio
Choose the depth that fits.
| Format | Duration | Group size | Outcome | Typical deliverables |
|---|---|---|---|---|
| Executive briefing | 90 minutes to 2 hours | 4 to 25 | Shared understanding and priorities | Pre-read, oversight or priority list |
| Half-day workshop | 3 to 4 hours | Up to 40 | Core skills and 3 to 5 use cases | Prompt library, use case list |
| 1-day workshop | 6 to 7 hours | Up to 40 | Hands-on labs and 5 to 10 use cases | Prompt library, templates, 30/60/90-day plan |
| 2-day programme | 2 days | Up to 35 | Deeper labs, team-specific workflows | Templates, workflow designs, adoption plan |
| Multi-sprint programme | 4 to 8 weeks | Up to 30 | Use cases built and tested on live work | Working use cases, measured results |
| Train-the-trainer | 2 to 3 days | 6 to 15 | Internal champions who can run sessions | Trainer kit, slides, lab files |
Recent sessions.
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What your team keeps.
- 5 to 10 implementable use cases mapped to your workflows
- A prompt library for your team's tasks
- Workflow templates and checklists
- A one-page AI usage policy
- A 30/60/90-day implementation plan with owners
- Post-training Q&A support
AI training for Operations & Supply Chain: common questions.
Get a Operations & Supply Chain AI training proposal.
- Response within 1 business day
- Details used only to reply, never shared
- Trusted by teams at Larsen & Toubro, Safaricom, Bajaj Finserv